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HMM 2021 : Hidden Markov Models and Applications
HMM 2021 : Hidden Markov Models and Applications

HMM 2021 : Hidden Markov Models and Applications

Montreal
Event Date: July 30, 2021 - July 30, 2021
Abstract Submission Deadline: January 15, 2021
Submission Deadline: May 15, 2021
Notification of Acceptance: June 15, 2021
Camera Ready Version Due: July 30, 2021


Categories

 
MARKOV


About

We would like to invite you to contribute a chapter for our upcoming volume entitled “Hidden Markov Models and Applications” to be published in the book series “Unsupervised and Semi-Supervised Learning”, Springer, the largest global scientific, technical, and medical ebook publisher. The volume will be available both in print and in ebook format by late 2021/early 2022 on SpringerLink, one of the leading science portals that includes more than 10 million documents, an ebook collection with more than 174,000 titles, and journal archives digitized back to the first issues in the 1840s.
 


Call for Papers

The goal of this volume is to summarize the recent advances and modern approaches related to these problems. Topics of interest include: (but not limited to)

• Hidden Markov models
• Infinite Hidden Markov models
• Bayesian/variational learning
• Nonparametric Bayesian approaches
• Model selection
• Feature selection
• High-dimensional data
• Outliers detection
• Active learning
• Big Data
• Transfer learning
• Unsupervised learning
• Semi-supervised learning
• Online learning
• Time series
• Applications



Credits and Sources

[1] HMM 2021 : Hidden Markov Models and Applications


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